IDEAS home Printed from https://ideas.repec.org/a/ags/jlaare/330842.html
   My bibliography  Save this article

Investigating the Efficacy of Government Rebates: A Case of the Smart Irrigation System

Author

Listed:
  • Lai, Yufeng
  • Yue, Chengyan
  • Watkins, Eric
  • Barnes, Mike

Abstract

No abstract is available for this item.

Suggested Citation

  • Lai, Yufeng & Yue, Chengyan & Watkins, Eric & Barnes, Mike, 2023. "Investigating the Efficacy of Government Rebates: A Case of the Smart Irrigation System," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 48(3), September.
  • Handle: RePEc:ags:jlaare:330842
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/330842/files/JARE330842.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Timothy B. Heath & Subimal Chatterjee & Karen R. France, 1995. "Mental Accounting and Changes in Price: The Frame Dependence of Reference Dependence," Post-Print hal-00670476, HAL.
    2. Janiszewski, Chris & Cunha, Marcus, Jr, 2004. "The Influence of Price Discount Framing on the Evaluation of a Product Bundle," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(4), pages 534-546, March.
    3. Çakır, Metin & Balagtas, Joseph V., 2014. "Consumer Response to Package Downsizing: Evidence from the Chicago Ice Cream Market," Journal of Retailing, Elsevier, vol. 90(1), pages 1-12.
    4. Carlsson, Fredrik & Martinsson, Peter, 2001. "Do Hypothetical and Actual Marginal Willingness to Pay Differ in Choice Experiments?: Application to the Valuation of the Environment," Journal of Environmental Economics and Management, Elsevier, vol. 41(2), pages 179-192, March.
    5. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    6. Heath, Timothy B & Chatterjee, Subimal & France, Karen Russo, 1995. "Mental Accounting and Changes in Price: The Frame Dependence of Reference Dependence," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 22(1), pages 90-97, June.
    7. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    8. John List & Craig Gallet, 2001. "What Experimental Protocol Influence Disparities Between Actual and Hypothetical Stated Values?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 20(3), pages 241-254, November.
    9. Jerrod M Penn & Wuyang Hu, 2018. "Understanding Hypothetical Bias: An Enhanced Meta-Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(4), pages 1186-1206.
    10. Harlam, Bari A. & Krishna, Aradhna & Lehmann, Donald R. & Mela, Carl, 1995. "Impact of bundle type, price framing and familiarity on purchase intention for the bundle," Journal of Business Research, Elsevier, vol. 33(1), pages 57-66, May.
    11. Adam Drucker, 2007. "Measuring Heterogeneous Preferences for Cattle Traits among Cattle-Keeping Households in East Africa," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(4), pages 1005-1019.
    12. González, Eva M. & Esteva, Eduardo & Roggeveen, Anne L. & Grewal, Dhruv, 2016. "Amount off versus percentage off—when does it matter?," Journal of Business Research, Elsevier, vol. 69(3), pages 1022-1027.
    13. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    14. Jayson L. Lusk & Ted C. Schroeder, 2004. "Are Choice Experiments Incentive Compatible? A Test with Quality Differentiated Beef Steaks," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(2), pages 467-482.
    15. Shir-Way Siew & Michael S. Minor & Reto Felix, 2018. "The influence of perceived strength of brand origin on willingness to pay more for luxury goods," Journal of Brand Management, Palgrave Macmillan, vol. 25(6), pages 591-605, November.
    16. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chengyan Yue & Yufeng Lai & Jingjing Wang & Paul Mitchell, 2020. "Consumer Preferences for Sustainable Product Attributes and Farm Program Features," Sustainability, MDPI, vol. 12(18), pages 1-19, September.
    2. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    3. Ortega, David L. & Wang, H. Holly & Wu, Laping & Olynk, Nicole J., 2011. "Modeling heterogeneity in consumer preferences for select food safety attributes in China," Food Policy, Elsevier, vol. 36(2), pages 318-324, April.
    4. Daniel A. Brent & Lata Gangadharan & Anke D. Leroux & Paul A. Raschky, 2022. "Reducing bias in preference elicitation for environmental public goods," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(2), pages 280-308, April.
    5. Angel Bujosa & Antoni Riera & Robert Hicks, 2010. "Combining Discrete and Continuous Representations of Preference Heterogeneity: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 47(4), pages 477-493, December.
    6. Kikulwe, Enoch M. & Birol, Ekin & Wesseler, Justus & Falck-Zepeda, Jose Benjamin, 2013. "Benefits, costs, and consumer perceptions of the potential introduction of a fungus-resistant banana in Uganda and policy implications," IFPRI book chapters, in: Falck-Zepeda, Jose Benjamin & Gruère, Guillaume P. & Sithole-Niang, Idah (ed.), Genetically modified crops in Africa: Economic and policy lessons from countries south of the Sahara, chapter 4, pages 99-141, International Food Policy Research Institute (IFPRI).
    7. Carroll, James & Aravena, Claudia & Denny, Eleanor, 2016. "Low energy efficiency in rental properties: Asymmetric information or low willingness-to-pay?," Energy Policy, Elsevier, vol. 96(C), pages 617-629.
    8. Haghani, Milad & Sarvi, Majid, 2018. "Hypothetical bias and decision-rule effect in modelling discrete directional choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 361-388.
    9. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part I. Integrative synthesis of empirical evidence and conceptualisation of external validity," Papers 2102.02940, arXiv.org.
    10. Nordmeyer, Eike Florenz & Danne, Michael & Musshoff, Oliver, 2023. "Can satellite-retrieved data increase farmers' willingness to insure against drought? – Insights from Germany," Agricultural Systems, Elsevier, vol. 211(C).
    11. Carlsson, Fredrik & Grykblom, Peter & Lagerkvist, Carl Johan, 2007. "Farm Animal Welfare - Testing for Market Failure," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 39(1), pages 1-13, April.
    12. Sergio Colombo & Wiktor Budziński & Mikołaj Czajkowski & Klaus Glenk, 2020. "Ex-ante and ex-post measures to mitigate hypothetical bias. Are they alternative or complementary tools to increase the reliability and validity of DCE estimates?," Working Papers 2020-20, Faculty of Economic Sciences, University of Warsaw.
    13. Darren Hudson & Karina Gallardo & Terry Hanson, 2005. "Hypothetical (Non)Bias In Choice Experiments: Evidence From Freshwater Prawns," Experimental 0503003, University Library of Munich, Germany.
    14. Wu, Linhai & Wang, Shuxian & Zhu, Dian & Hu, Wuyang & Wang, Hongsha, 2015. "Chinese consumers’ preferences and willingness to pay for traceable food quality and safety attributes: The case of pork," China Economic Review, Elsevier, vol. 35(C), pages 121-136.
    15. Carnegie, Rachel & Wang, Holly & Widmar, Nicole & Ortega, David, 2014. "Consumer Preferences for Quality and Safety Attributes of Duck in Restaurant Entrees: Is China A Viable Market for The U.S. Duck Industry?," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170717, Agricultural and Applied Economics Association.
    16. Daniel A. Brent & Lata Gangadharan & Anke Leroux & Paul A. Raschky, 2014. "Putting One's Money Where One's Mouth is: Increasing Saliency in the Field," Monash Economics Working Papers 43-14, Monash University, Department of Economics.
    17. Tonsor, Glynn T. & Olynk, Nicole & Wolf, Christopher, 2009. "Consumer Preferences for Animal Welfare Attributes: The Case of Gestation Crates," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 41(3), pages 713-730, December.
    18. Jae Eun You & Jong Woo Choi, 2022. "An analysis of food culture and technology acceptance for youth: Using a choice experiment and a latent class model," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(2), pages 510-522, March.
    19. Apurba Shee & Calum G. Turvey & Ana Marr, 2021. "Heterogeneous Demand and Supply for an Insurance‐linked Credit Product in Kenya: A Stated Choice Experiment Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(1), pages 244-267, February.
    20. Keiko Aoki & Kenju Akai, 2022. "Testing hypothetical bias in a choice experiment: An application to the value of the carbon footprint of mandarin oranges," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-26, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:jlaare:330842. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/waeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.